{"total":76,"rows":[{"id":"2310.15308","title":"SAM-CLIP: Merging Vision Foundation Models towards Semantic and Spatial Understanding","created":"2023-10-23","cited_by_count":111,"area":null},{"id":"2408.04883","title":"ProxyCLIP: Proxy Attention Improves CLIP for Open-Vocabulary Segmentation","created":"2024-08-09","cited_by_count":111,"area":null},{"id":"2403.12963","title":"FouriScale: A Frequency Perspective on Training-Free High-Resolution Image Synthesis","created":"2024-03-19","cited_by_count":59,"area":"diffusion"},{"id":"2404.05384","title":"Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance","created":"2024-04-08","cited_by_count":59,"area":"diffusion"},{"id":"2312.03626","title":"TokenCompose: Text-to-Image Diffusion with Token-level Supervision","created":"2023-12-06","cited_by_count":40,"area":"diffusion"},{"id":"2403.00483","title":"RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization","created":"2024-03-01","cited_by_count":39,"area":null},{"id":"2408.04961","title":"In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation","created":"2024-08-09","cited_by_count":38,"area":null},{"id":"2310.07972","title":"Interpretable Diffusion via Information Decomposition","created":"2023-10-12","cited_by_count":37,"area":"diffusion"},{"id":"2408.12957","title":"Image Segmentation in Foundation Model Era: A Survey","created":"2024-08-23","cited_by_count":35,"area":"diffusion"},{"id":"2411.15869","title":"Self-Calibrated CLIP for Training-Free Open-Vocabulary Segmentation","created":"2024-11-24","cited_by_count":34,"area":"mllm"},{"id":"2408.13509","title":"Dual-Interrelated Diffusion Model for Few-Shot Anomaly Image Generation","created":"2024-08-24","cited_by_count":32,"area":"diffusion"},{"id":"2405.03150","title":"Video Diffusion Models: A Survey","created":"2024-05-06","cited_by_count":30,"area":"diffusion"},{"id":"2403.14291","title":"Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models","created":"2024-03-21","cited_by_count":29,"area":"diffusion"},{"id":"2406.02842","title":"DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut","created":"2024-06-05","cited_by_count":26,"area":null},{"id":"2410.01768","title":"SegEarth-OV: Towards Training-Free Open-Vocabulary Segmentation for Remote Sensing Images","created":"2024-10-02","cited_by_count":25,"area":null},{"id":"2509.18096","title":"Seg4Diff: Unveiling Open-Vocabulary Segmentation in Text-to-Image Diffusion Transformers","created":"2025-09-22","cited_by_count":24,"area":"diffusion"},{"id":"2503.12590","title":"Personalize Anything for Free with Diffusion Transformer","created":"2025-03-16","cited_by_count":23,"area":"diffusion"},{"id":"2404.04231","title":"Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation","created":"2024-04-05","cited_by_count":21,"area":null},{"id":"2407.02685","title":"Open Panoramic Segmentation","created":"2024-07-02","cited_by_count":17,"area":null},{"id":"2411.13836","title":"CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation","created":"2024-11-21","cited_by_count":17,"area":null},{"id":"2310.12904","title":"Unsupervised Object Localization in the Era of Self-Supervised ViTs: A Survey","created":"2023-10-19","cited_by_count":16,"area":null},{"id":"2407.07077","title":"ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept Extraction","created":"2024-07-09","cited_by_count":16,"area":"diffusion"},{"id":"2501.09503","title":"AnyStory: Towards Unified Single and Multiple Subject Personalization in Text-to-Image Generation","created":"2025-01-16","cited_by_count":16,"area":null},{"id":"2511.07923","title":"Exploring the Underwater World Segmentation without Extra Training","created":"2025-11-11","cited_by_count":16,"area":null},{"id":"2312.00065","title":"Unsupervised Keypoints from Pretrained Diffusion Models","created":"2023-11-29","cited_by_count":15,"area":"diffusion"},{"id":"2404.00262","title":"Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation","created":"2024-03-30","cited_by_count":15,"area":null},{"id":"2407.13642","title":"Open-Vocabulary 3D Semantic Segmentation with Text-to-Image Diffusion Models","created":"2024-07-18","cited_by_count":12,"area":"diffusion"},{"id":"2405.05852","title":"Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control","created":"2024-05-09","cited_by_count":11,"area":"diffusion"},{"id":"2408.15241","title":"GenRec: Unifying Video Generation and Recognition with Diffusion Models","created":"2024-08-27","cited_by_count":11,"area":"diffusion"},{"id":"2412.01244","title":"Concept Replacer: Replacing Sensitive Concepts in Diffusion Models via Precision Localization","created":"2024-12-02","cited_by_count":11,"area":"diffusion"},{"id":"2409.03209","title":"iSeg: An Iterative Refinement-based Framework for Training-free Segmentation","created":"2024-09-05","cited_by_count":10,"area":"diffusion"},{"id":"2508.11256","title":"Generalized Decoupled Learning for Enhancing Open-Vocabulary Dense Perception","created":"2025-08-15","cited_by_count":10,"area":null},{"id":"2511.23332","title":"UniGeoSeg: Towards Unified Open-World Segmentation for Geospatial Scenes","created":"2025-11-28","cited_by_count":10,"area":null},{"id":"2506.21233","title":"ReME: A Data-Centric Framework for Training-Free Open-Vocabulary Segmentation","created":"2025-06-26","cited_by_count":9,"area":null},{"id":"2508.18067","title":"Annotation-Free Open-Vocabulary Segmentation for Remote-Sensing Images","created":"2025-08-25","cited_by_count":8,"area":null},{"id":"2408.07433","title":"MagicFace: Training-free Universal-Style Human Image Customized Synthesis","created":"2024-08-14","cited_by_count":7,"area":"diffusion"},{"id":"2406.00777","title":"Diffusion Features to Bridge Domain Gap for Semantic Segmentation","created":"2024-06-02","cited_by_count":5,"area":"diffusion"},{"id":"2410.03080","title":"Generative Edge Detection with Stable Diffusion","created":"2024-10-04","cited_by_count":5,"area":"diffusion"},{"id":"2506.01539","title":"G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models","created":"2025-06-02","cited_by_count":5,"area":"diffusion"},{"id":"2511.16170","title":"Target Refocusing via Attention Redistribution for Open-Vocabulary Semantic Segmentation: An Explainability Perspective","created":"2025-11-20","cited_by_count":5,"area":null},{"id":"2409.08251","title":"Dynamic Prompting of Frozen Text-to-Image Diffusion Models for Panoptic Narrative Grounding","created":"2024-09-12","cited_by_count":4,"area":"diffusion"},{"id":"2604.24575","title":"Diffusion Model as a Generalist Segmentation Learner","created":"2026-04-27","cited_by_count":4,"area":"diffusion"},{"id":"2507.07106","title":"Towards Multimodal Understanding via Stable Diffusion as a Task-Aware Feature Extractor","created":"2025-07-09","cited_by_count":3,"area":"mllm"},{"id":"2603.06178","title":"Making Training-Free Diffusion Segmentors Scale with the Generative Power","created":"2026-03-06","cited_by_count":3,"area":"diffusion"},{"id":"2410.11473","title":"InvSeg: Test-Time Prompt Inversion for Semantic Segmentation","created":"2024-10-15","cited_by_count":2,"area":"diffusion"},{"id":"2411.01819","title":"Free-Mask: A Novel Paradigm of Integration Between the Segmentation Diffusion Model and Image Editing","created":"2024-11-04","cited_by_count":2,"area":"diffusion"},{"id":"2412.06286","title":"No Annotations for Object Detection in Art through Stable Diffusion","created":"2024-12-09","cited_by_count":2,"area":"diffusion"},{"id":"2504.17253","title":"DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks","created":"2025-04-24","cited_by_count":2,"area":"diffusion"},{"id":"2507.20976","title":"Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision","created":"2025-07-28","cited_by_count":2,"area":null},{"id":"2507.23313","title":"The Cow of Rembrandt - Analyzing Artistic Prompt Interpretation in Text-to-Image Models","created":"2025-07-31","cited_by_count":2,"area":"diffusion"},{"id":"2509.01275","title":"Novel Category Discovery with X-Agent Attention for Open-Vocabulary Semantic Segmentation","created":"2025-09-01","cited_by_count":2,"area":"agents"},{"id":"2511.08248","title":"NERVE: Neighbourhood & Entropy-guided Random-walk for training free open-Vocabulary sEgmentation","created":"2025-11-11","cited_by_count":2,"area":null},{"id":"2602.17799","title":"Enabling Training-Free Text-Based Remote Sensing Segmentation","created":"2026-02-19","cited_by_count":2,"area":"mllm"},{"id":"2406.17236","title":"LIPE: Learning Personalized Identity Prior for Non-rigid Image Editing","created":"2024-06-25","cited_by_count":1,"area":"diffusion"},{"id":"2503.19902","title":"ICE: Intrinsic Concept Extraction from a Single Image via Diffusion Models","created":"2025-03-25","cited_by_count":1,"area":"diffusion"},{"id":"2506.23323","title":"FA-Seg: A Fast and Accurate Diffusion-Based Method for Open-Vocabulary Segmentation","created":"2025-06-29","cited_by_count":1,"area":"diffusion"},{"id":"2602.17901","title":"MeDUET: Disentangled Unified Pretraining for 3D Medical Image Synthesis and Analysis","created":"2026-02-19","cited_by_count":1,"area":"diffusion"},{"id":"2605.03175","title":"DINO Soars: DINOv3 for Open-Vocabulary Semantic Segmentation of Remote Sensing Imagery","created":"2026-05-04","cited_by_count":1,"area":null},{"id":"2605.26460","title":"AnchorDiff: Training-Free Concept Grounding for MM-DiTs via Anchor-Based Graph Propagation","created":"2026-05-26","cited_by_count":1,"area":"diffusion"},{"id":"2606.15590","title":"Unlocking Diffusion Hierarchies: Adaptive Timestep Selection for Zero-Shot Segmentation","created":"2026-06-14","cited_by_count":1,"area":"diffusion"},{"id":"2312.01682","title":"ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning","created":"2023-12-04","cited_by_count":0,"area":"diffusion"},{"id":"2505.06668","title":"StableMotion: One-Step Motion Estimation with Diffusion Prior","created":"2025-05-10","cited_by_count":0,"area":"diffusion"},{"id":"2505.22209","title":"A Survey on Training-free Open-Vocabulary Semantic Segmentation","created":"2025-05-28","cited_by_count":0,"area":null},{"id":"2506.09740","title":"ELBO-T2IAlign: A Generic ELBO-Based Method for Calibrating Pixel-level Text-Image Alignment in Diffusion Models","created":"2025-06-11","cited_by_count":0,"area":"diffusion"},{"id":"2507.03846","title":"Interpretable Diffusion Models with B-cos Networks","created":"2025-07-05","cited_by_count":0,"area":"diffusion"},{"id":"2511.19936","title":"Image Diffusion Models Exhibit Emergent Temporal Propagation in Videos","created":"2025-11-25","cited_by_count":0,"area":"diffusion"},{"id":"2603.13951","title":"DCP-CLIP:A Coarse-to-Fine Framework for Open-Vocabulary Semantic Segmentation with Dual Interaction","created":"2026-03-14","cited_by_count":0,"area":null},{"id":"2604.02252","title":"SPAR: Single-Pass Any-Resolution ViT for Open-vocabulary Segmentation","created":"2026-04-02","cited_by_count":0,"area":null},{"id":"2604.07723","title":"Direct Segmentation without Logits Optimization for Training-Free Open-Vocabulary Semantic Segmentation","created":"2026-04-09","cited_by_count":0,"area":null},{"id":"2604.27889","title":"Noise2Map: End-to-End Diffusion Model for Semantic Segmentation and Change Detection","created":"2026-04-30","cited_by_count":0,"area":"diffusion"},{"id":"2605.04593","title":"DiCLIP: Diffusion Model Enhances CLIP's Dense Knowledge for Weakly Supervised Semantic Segmentation","created":"2026-05-06","cited_by_count":0,"area":"diffusion"},{"id":"2605.18193","title":"Best Segmentation Buddies for Image-Shape Correspondence","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2605.25821","title":"[CLS] is Not Enough: Multi-Label Recognition via Patch-Level Inference and Adaptive Aggregation","created":"2026-05-25","cited_by_count":0,"area":"mllm"},{"id":"2606.16124","title":"Training-Free Open-Vocabulary Visual Grounding for Remote Sensing Images and Videos","created":"2026-06-15","cited_by_count":0,"area":null},{"id":"2608.05878","title":"MAVISEG: Manifold Propagation and Visual Prototypes for Zero-Shot Open-Vocabulary Segmentation in Diffusion Transformers","created":"2026-08-06","cited_by_count":0,"area":"diffusion"},{"id":"2608.26624","title":"Text-to-seed generation: Training-free open-vocabulary seeded semantic segmentation via re-purposing diffusion as text-guided seed generator","created":"2026-08-27","cited_by_count":0,"area":null}],"next_cursor":null}